Optimization of Well Trajectory Using Particle Swarm Optimization Algorithm with Association of Proportional Feedbak Control-case Study

نویسندگان [English]

Javad Kasravi1؛ Mohammad Amin Safarzadeh2؛ Ayoub Vali zadeh1

1Pars Oil and Gas Company

2Tehran Energy Consultants Company

چکیده [English]

One of the important issues in the field of drilling engineering is the instability of oil and gas Wellbore. It is influenced by several factors; such as, azimuth, an inclination angle, in-situ stresses, mud weight, rock strength parameters, and etc. Among these factors, an azimuth angle, an inclination angle and mud weight are controllable. In this paper, a novel algorithm is introduced to obtain optimum Mud Pressure and finding the best well trajectory. Particle Swarm Optimization (PSO) was used as a main optimization engine; moreover, a strategy based on proportional (P) feedback control was applied to archive optimum condition. Normalized Yielded Zone (NYZA) Area was applied as an instability index and the feedback function uses the error between the simulated and set point Normalized Yielded Zone Area. A proposed algorithm is applied in one of directional well located in Ahwaz Oilfield. The results demonstrated that the optimum azimuth angle was near maximum horizontal stress (358.3°), and the optimum inclination angle was 67.4°. In addition, the minimum mud pressure for this trajectory was equal to 37.75 Mpa.

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